• Proceedings of the Korea Air Pollution Research Association Conference
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• 2002.04a
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• pp.93-94
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• 2002

식생은 자연 VOC의 배출원으로써 대부분을 차지한다. 미국의 경우 자연 VOC의 배출량이 인위적인 것의 약 1.5배에서 많게는 10배 정도에 이를 것으로 추정하고 있으며 국내에서는 지금까지 자연적 VOC에 대한 직접적 배출량 산정은 한번도 이루어진 적이 없다. 우리나라는 전국토의 약 65%가 산림으로 이루어져 있어 NVOC가 인위적인 VOC의 양을 훨씬 초과 할 것이라는 것을 예측할 수 있다. (중략)

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.229-232
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• 2010

비디오 압축 기법에서 움직임 추정(Motion Estimation)은 매우 중요한 부분을 차지하는데, 그것은 움직임 추정이 화질과 인코딩 시간에 직접적으로 영향을 미치기 때문이다. 가장 기본적인 움직임 추정 기법은 전역 탐색 기법(Full Search)인데, 이는 가장 좋은 화질을 보여주긴 하지만 매우 많은 계산량이 필요하다는 단점이 있다. 따라서 좋은 화질을 유지하면서도 계산량을 낮추기 위한 많은 고속 탐색 알고리즘들이 제안되었다. 이 논문에서는 현재 프레임의 매크로블록과 이전프레임의 매크로블록간의 Sum of Absolute Difference를 이용하여 탐색영역을 변경하는 새로운 예측 방법을 제시한다. 실험결과에 따르면 우리가 제안한 알고리듬은 FS와 비슷한 PSNR을 유지하면서 속도가 크게 향상된 것을 볼 수 있었다.

• Computational Structural Engineering
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• v.9 no.4
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• pp.209-217
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• 1996

An Inverse modal perturbation method was applied to estimate the assessments of the damages at the large-scaled marine structure, such as pier or dolphin, from the structural dynamic natural frequencies and mode shape. Vibrations of structural stiffness, natural frequencies and mode shapes from the eigenvalue analysis lead to the modal peturbation equations, which were considered with a second order term. This paper estimates the assessments of the damages for the structure with the decreased stiffness and shows the convergence of perturbation equation.

• Journal of Ginseng Research
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• v.11 no.1
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• pp.46-55
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• 1987

The regression line was used to predict ginseng root yield from characters of aerial parts, stem diameter, leaf length and width, and degrees of missing plants per unit area. The rates of fitness of predicted yield on practical yield investigated in field were high. Especially, theoretical yield calculated by the size of stem diameter was a good fit. Therefore, a line regression appeared to be a satisfactory fit.

• The Korean Journal of Applied Statistics
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• v.17 no.2
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• pp.303-310
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• 2004

We suggest a method to procure information from the sensitive population which combine a direct survey method, BB and an indirect survey one, RRT, and a combined estimator that uses the stratified double sampling to estimate the sensitive parameter. We compare the efficiency of our estimator with that of Mangat and Singh model.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.211-214
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• 2011

비디오 압축 기법에서 움직임 추정 (Motion Estimation)은 매우 중요한 부분을 차지하는데, 그것은 움직임 추정이 화질과 인코딩 시간에 직접적으로 영향을 미치기 때문이다. 가장 기본적인 움직임 추정 기법은 전역 탐색 기법 (Full Search Algorithm, FSA)인데, 이는 가장 좋은 화질을 보여주긴 하지만 매우 많은 계산량을 필요로 한다는 단점이 있다. 따라서 좋은 화질을 유지하면서도 계산량을 낮추기 위한 많은 고속 탐색 알고리즘들이 제안되었다. 이 논문에서는 고속 탐색 알고리듬 중 하드웨어 구현 시 많은 이점을 가진 1비트 변환 알고리듬 (One-bit Transform-based Motion Estimation, 1BT)을 소개하고 1비트 변환 알고리듬의 방법에 있어서 기존의 1비트 변환 알고리듬의 PSNR을 유지하면서 좀 더 빠른 속도로 인코딩이 가능한 커널 및 알고리듬을 제시한다. 실험결과에 따르면 우리가 제안한 알고리듬은 기존의 1비트 변환 알고리듬과 비슷한 PSNR을 유지하면서 속도가 향상된 것을 볼 수 있었다.

• Journal of Korean Society of Transportation
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• v.18 no.5
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• pp.57-67
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• 2000

Two fuzzy travel time estimators for interrupted traffic flow were developed based on field survey data and simulation data 7hat is collected from DETSIM, which is microscopic traffic simulation model that car-following theory is applied. One is FETTOS(Fuzzy Estimator of Travel Time using Occupancy and Spot speed) and the other is FETTOS(Fuzzy Estimator of Travel Speed using Volume and Occupancy). Fuzzy logic controller was applied to the estimators to deal with non-linear relationship between traffic variables and travel time. According to results of simulation and field survey. estimation of travel time can be modeled by using percent occupancy better than any other traffic variables. Detector location from storyline and signal timing Plan of intersection are affected to estimate travel time. With a few findings, the estimator was constructed and its performance was tested for observed travel time data and simulated data. FETTOS which needs signal timing plan and detector location estimates travel time with accurate better than FETSVO does. However. FETSVO has excellent transferability because the estimator needs set of input data only; volume and time mean speed.

• The Korean Journal of Applied Statistics
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• v.35 no.5
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• pp.657-666
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• 2022

An informative predictor subspace is useful to estimate the central subspace, when conditions required in usual suffcient dimension reduction methods fail. Recently, for multivariate regression, Ko and Yoo (2022) newly defined a projective-resampling informative predictor subspace, instead of the informative predictor subspace, by the adopting projective-resampling method (Li et al. 2008). The new space is contained in the informative predictor subspace but contains the central subspace. In this paper, a method directly to estimate the informative predictor subspace is proposed, and it is compapred with the method by Ko and Yoo (2022) through theoretical aspects and numerical studies. The numerical studies confirm that the Ko-Yoo method is better in the estimation of the central subspace than the proposed method and is more efficient in sense that the former has less variation in the estimation.

• The Korean Journal of Applied Statistics
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• v.16 no.2
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• pp.239-246
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• 2003

In small area estimation, Best Linear Unbaised Predictor(BLUP) can be directly implicated ,specially, in use of the time series estimation. If there are correlations between observations and error terms over the time, Kalman Filter method can be used. Therefore, using kalman Filtering technique small area estimation of total of unemployments are estimated by BLUP. And for the example of this study, Economic Active Population Survey data were used.

• Journal of Korean Society of Forest Science
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• v.85 no.1
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• pp.56-65
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• 1996

Current volume tables might underestimate or overestimate the volumes of individual trees in a specific region because the tables were made using the data from broad region. This study provides a statistical method of local correction, which is the ratio-of-means estimator, when the table is applied to the data from a specific region. Data used in this study were 411 trees of Larix leptolepis from Hongchon region. Five statistical models for individual tree volume equation were evaluated based on 3 evalation criteria and the best equation fitted to the data from Hongchon region was selected. The volume estimated by the selected equation was then compared with the volume estimated by the current volume table. From the ratio-of-means estimate based on the volumes estimated by selected equation and by current volume table, the local correction was made. The correction equation was $V_{Hongchon}=1.078$ $V_{volume\;table}$. It is also proved that the correction equation can simply and precisely estimate tree volumes of Larix leptolepis in Hongchon region using the current volume table.